• Title/Summary/Keyword: 데이터 부족 문제

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Electric vehicle battery remaining capacity analysis method using cell-to-cell voltage deviation (셀간 전압 편차를 활용한 전기자동차 배터리 잔존용량 분석 기법)

  • Gab-Seong Cho;Dae-Sik Ko
    • Journal of Platform Technology
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    • v.11 no.2
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    • pp.54-65
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    • 2023
  • Due to the nature of electric vehicles, the batteries used for electric vehicles have a very large rated capacity. If an electric vehicle runs for a long time or an electric vehicle is abandoned due to a traffic accident, the electric vehicle battery becomes a waste battery. Even in vehicles that are being abandoned, the remaining capacity of waste batteries for electric vehicles is sufficient for other purposes. Waste batteries for automobiles are very expensive, so they need to be recycled and reused, but there was a problem that the standards for measuring the performance grade of waste batteries for recycling and reuse were insufficient. As a method for measuring the remaining capacity of waste battery, the most stable and reliable method is to measure the remaining capacity of battery using full charge and discharge. However, the inspection method by the full charging and discharging method varies depending on the capacity of the battery, but it takes more than a day to inspect, and many people are making great efforts to solve this problem. In this paper, an electric vehicle battery residual capacity analysis technique using voltage deviation between cells was studied and analyzed as a method to reduce inspection time for electric vehicle batteries. To this end, a full charging and discharging-based capacity measurement system was constructed, experimental data were collected using a nose or waste battery, and the correlation between the voltage deviation and the remaining capacity of the battery pack was analyzed to verify whether it can be used for battery inspection.

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Comparative Analysis of Youth Unemployment in Korea and Japan: Implications for Korea (한국과 일본의 청년실업 비교분석 및 시사점)

  • Baak, SaangJoon;Jang, Keunho
    • Economic Analysis
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    • v.25 no.4
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    • pp.58-108
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    • 2019
  • This paper analyzes the determining factors in the unemployment rate among young people in their 20s by studying data from 30 OECD countries between 2000 and 2017. It identifies reasons why Korea has a higher youth unemployment rate than Japan, and assesses what implications Japan's youth unemployment measures could have on Korea. The study highlights the variables that have meaningful impacts on youth unemployment. They include the unemployment rate among the working-age population, the percentage of each age bracket in the overall population, the GDP growth rate, the percentage of wage laborers in each age group, the percentage of elderly people, and the percentage of part-time workers. This paper also finds that a decline in the youth population, especially among people in their 20s, does not help to address the issue of youth unemployment. Secondly, this paper explains the additional factors behind Korea's higher youth unemployment rates. One is Korea's disadvantageous employment environment, compared to that in Japan, in terms of wage earnings. Other factors include the existence of fewer decent corporate jobs than in Japan, and wide disparities in wages between large and small corporate jobs. Therefore, while making efforts to resolve long-term and structural problems, it is necessary to actively promote policy measures to solve short-term mismatch problems of youth employment by referring to Japanese policy examples.

Generative AI service implementation using LLM application architecture: based on RAG model and LangChain framework (LLM 애플리케이션 아키텍처를 활용한 생성형 AI 서비스 구현: RAG모델과 LangChain 프레임워크 기반)

  • Cheonsu Jeong
    • Journal of Intelligence and Information Systems
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    • v.29 no.4
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    • pp.129-164
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    • 2023
  • In a situation where the use and introduction of Large Language Models (LLMs) is expanding due to recent developments in generative AI technology, it is difficult to find actual application cases or implementation methods for the use of internal company data in existing studies. Accordingly, this study presents a method of implementing generative AI services using the LLM application architecture using the most widely used LangChain framework. To this end, we reviewed various ways to overcome the problem of lack of information, focusing on the use of LLM, and presented specific solutions. To this end, we analyze methods of fine-tuning or direct use of document information and look in detail at the main steps of information storage and retrieval methods using the retrieval augmented generation (RAG) model to solve these problems. In particular, similar context recommendation and Question-Answering (QA) systems were utilized as a method to store and search information in a vector store using the RAG model. In addition, the specific operation method, major implementation steps and cases, including implementation source and user interface were presented to enhance understanding of generative AI technology. This has meaning and value in enabling LLM to be actively utilized in implementing services within companies.

Virtual Reality Based Welding Training Simulator (가상현실 기반 용접 훈련 시뮬레이터)

  • Jo, Dong-Sik;Kim, Yong-Wan;Yang, Ung-Yeon;Lee, Gun-A.;Choi, Jin-Sung;Kim, Ki-Hong
    • Proceedings of the KWS Conference
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    • 2010.05a
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    • pp.49-49
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    • 2010
  • 용접은 산업계의 기계 조립 및 접합을 위한 공정의 주요한 작업으로 조선, 중공업, 건설 등 산업현장에서 사람에 의한 수동적인 작업으로 대부분 수행된다. 이러한 용접 작업을 수행하는 용접 기술자는 산업 현장 훈련원과 직업 교육 학교에서 양성되지만 용접 훈련 과정은 실습 초보자에게 위험하고, 장시간 교육하기에 어려울 뿐 아니라 재료 낭비, 의사 소통의 한계, 즉석 결과 평가의 한계, 공간부족 등 다양한 문제가 있다. 그러므로, 안전하고 반복적인 실습 환경 제공하고 장시간 및 다수 교육참여 지원 등이 가능한 시스템을 구축하여 숙련된 우수 인력 조기 확보와 훈련 비용을 절감할 필요가 있다. 본 논문에서는 실제와 동일한 상호작용을 제공할 뿐만 아니라 고품질로 훈련 환경을 가시화하여 용접 상황을 동일하게 모사하는 가상 현실 기반 용접 훈련 시뮬레이터를 제시한다. 이 시스템은 용접의 형상과 환경의 고품질 가시화, 경험 DB를 통한 용접의 비드 형상 데이터 획득, 용접 토치를 이용하는 사용자 상호작용, 용접 훈련 결과 평가 및 최적 작업 가이드, 용접 콘텐츠 저작, 다양한 용접 훈련을 가시화하는 하드웨어 플랫폼으로 구성된다. 고품질 가상 용접 가시화는 경험 DB 기반 비드 형상 데이터와 신경회로망을 이용한 비드 형상 예측을 통해 실시간 비드 표현이 이루어지며 쉐이더 기반 고품질 모재 및 비드 표현, 아크 불꽃 효과 표현을 포함한다. 사용자 상호작용은 현장 작업 도구와 일치된 토치 인터페이스와 위치추적을 이용하여 토치의 작업각, 진행각, 속도, 거리 등을 반영할 수 있으며 진동과 소리 등 용접 훈련의 사실적 상호작용도 재현하였다. 용접 훈련 평가 및 최적 작업 가이드는 훈련자의 용접속도, 거리, 각도 등의 사용자 작업 결과를 그래픽으로 표현하고, 애니메이션을 통한 훈련 자세를 추후 분석할 수 있도록 하였고, 가상토치, 기준선, 수치계기 등을 이용한 최적 작업 훈련 가이드 제시하였다. 훈련 콘텐츠 저작은 메뉴UI 기반으로 용접의 전류, 전압 등의 조건과 상황을 선택하도록 제시하였고, 하드웨어 플랫폼은 워크벤치형 입체 디스플레이 방식으로 용접 환경을 가시화하였고, 위, 정면, 아래보기 등 다양한 용접 자세 변경을 지원 할 수 있도록 구축하였다. 이러한 가상현실 기반 훈련 시뮬레이터는 아크열 발생에 따른 장시간 훈련의 어려움을 극복할 수 있고, 다양한 실습 환경을 바꾸어 가며 반복적인 훈련이 가능하고, 실 재료를 사용하지 않아 재료의 낭비를 줄일 수 있는 환경 친화적인 안전하고 효율적인 훈련 실습 환경을 제공할 수 있다.

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Transformation from Data Flow Diagram to SysML Diagram (데이터흐름도(DFD)의 SysML 다이어그램으로의 변환에 관한 연구)

  • Yoon, Seok-In;Wang, Ji-Nam
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.11
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    • pp.5827-5833
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    • 2013
  • Due to science and technology evolutions, modern systems are becoming larger and more complex. In developing complex systems, Model-Based Systems Engineering (MBSE), which is approach to reduce complexity, is being introduced and applied to various system domains. However, because of the modeling being made through a variety of languages, there is a problem with communication within the stakeholders and a lack of consistency in the models. In this paper, by investigating the rule explaining the transformation of one of the only traditional diagrams, DFD, to SysML and reusing the formerly built models, we attempt to implement by SysML. Analyzing each diagram's Metamodel and validating the connection of each component through bipartite graph especially suggest an effective transformation rule. Also, by applying to naval-combat system, we confirm efficiency of this study. Establishing the results of this study as basis for conducting further study, we will be able to transform other previous models gained from formerly built system to SysML. In this way, the stakeholder's communication can be improved and we anticipate that the application of SysML will be beneficial to the much efficient MBSE.

활동기준원가회계시스템구축을 위한 활동분석 방법에 관한 연구 -서비스업을 대상으로 하며 기존 기업자료를 이용한 활동분석-

  • 김준석;박상민;남호기;박주식
    • Proceedings of the Safety Management and Science Conference
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    • 2000.11a
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    • pp.63-71
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    • 2000
  • 대량생산체제를 위주로 했던 산업혁명 초기에는 원가계산방식이 비교적 수월하였다. 생산에 투입된 비용을 그대로 생산량으로 나누기만 하면 되었고 이 수치를 그대로 원가라고 간주하여도 기업이 존속하는데는 아무 영향이 없었다. 물론 이 때에도 간접비라는 것은 존재하였으나 그 비중이 미미했기에 이를 무시하여도 되었던 것이다. 그러나 그 때와 달리 지금은 기업환경은 다품종 소량생산, 고객 주문 생산 등의 다양한 형태로 변화되어 왔으며 유연생산시스템, 적시생산시스템 등과 같은 새로운 경영기법 및 생산관리 기법이 발달함에 따라 그간 무시되어 왔던 간접비가 오히려 직접비보다도 많아지는 현상이 생기게 되었다. 그래서 증가하는 간접비를 효과적으로 제품이나 서비스에 배부하여야 하는 필요성에서 연구가 시작되었고 그 결과로서 나온 원가계산방법이 활동기준원가계산시스템이다. 우리 나라에는 90년대 초반에 도입되어 여러기업이 시스템을 구축한 상태이며 이에 대한 사례를 연구한 논문도 발표되었다. 활동기준원가 계산시스템이 기존의 원가계산시스템보다 더 정교하다는 것은 많은 이미 많은 연구들에서 입증이 되었지만 그래도 실제 시스템의 구축에 있어서는 아직도 많은 연구과제가 남아있다. 본 연구는 시스템의 구축과정에서 핵심과정으로써 반드시 거쳐야 하는 활동분석단계에 관심을 두고 활동분석과정을 가능한 적은 비용으로 빠르게 수행하기 위한 방법을 모색하였다. 그 방법으로 선택한 것이 기존의 기업보유자료를 이용하여 활동분석을 수행하는 것으로 비록 활동분석데이터의 신뢰성에는 조금 부족한 면이 있을 수 있으나 기업보유자료가 활동분석과 개연성이 있음을 제시하고자 하였다. 한다.드가 전송한 패킷은 이전 셀 지역에 있는 에이전트가 새로운 셀 지역에 있는 이동 노드로 패킷을 재전송하여 전달하는 smooth 핸드오프 기능을 제공한다. 이전 셀 지역에 속한 외부 에이전트가 바인딩을 갱신하기 전에 송신 노드로부터 이동노드로 전달된 패킷이 있을 경우는 패킷을 저장하여 이후에 이동 노드의 위치 정보에 관한 바인딩 정보가 갱신되면 이러한 바인딩 정보에 따라 패킷을 재전송하는 버퍼기능도 제공한다. route optimization mobile IP는 기본적인 mobile IP에서의 복잡한 라우팅 문제를 해결하고, 핸드오프에서의 패킷 손실률을 최소화 한다.본 논문에서는 컴퓨터 시뮬레이션을 통해 smooth 핸드오프를 이용한 mobile IP의 성능을 분석한다. 일반적으로 데이터 트래픽 특성, 노드의 이동성, 바인딩 갱신시간, 버퍼관리 방법 등은 핸드오프 동안 mobile IP의 성능에 많은 영향을 미친다. 따라서 시뮬레이션 모델을 이용하여 다양한 트래픽 환경에서 위에 언급된 성능 파라미터들의 영향을 분석한다. 마지막으로 시뮬레이션 결과를 이용하여 mobile IP의 성능을 개선시키기 위한 방법을 제시한다. 제시하고자 한다.과로 여겨지며, 또한 혈청중의 ALT, ALP 및 LDH활성을 유의성있게 감소시키므로서 감잎 phenolic compounds가 에탄올에 의한 간세포 손상에 대한 해독 및 보호작용이 있는 것으로 사료된다.반적으로 홍삼 제조시 내공의 발생은 제조공정에서 나타나는 경우가 많으며, 내백의 경우는 홍삼으로 가공되면서 발생하는 경우가 있고, 인삼이 성장될 때 부분적인 영양상태의 불충분이나 기후 등에 따른

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Tracking Recent Terrorism Trends in Europe and North America (최근 북미 및 유럽지역의 테러리즘 동향연구: 2012-2017)

  • Park, Gi-Bbeum;Lee, Chang-Han;Yu, Hyo-Eun
    • Korean Security Journal
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    • no.53
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    • pp.109-133
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    • 2017
  • The purpose of this study is to provide a general trends in recent terrorism in North America and Europe over the last five years. In particular the terrorism which occurred after 2012 shows the transition in trends as terrorists attacks civilians and public places(soft target) rather than targeting national facilities or specific people. For instance, the Parris terror attack and Barcelona vehicle attack shows this changes clearly. The terrorists appeared to attack ordinary people in urban places with high population density. Although the trends are changing, there are still few studies focusing on the current situation, and most of the previous studies have focused on changing in strategies and counter-terrorism in each country after the 9.11 terror. Meanwhile, studies examining the trends of terrorism have been limited to analyzing few cases or using relatively monolithic data of Global Terrorism Data(GTD). While the types of terrorism that occur recent years including 'new terrorism' in many respects, it seems to be difficult to classify with GTD data and/or case studies. Therefore, it is necessary to construct new data that perhaps grasp the recent trend of terrorism from different perspectives. In this point of view, this Based on this, this study collects terrorism data from North America and Europe for the past five years, by using the National Intelligence Service's annual report on terrorism as a sampling framework and analyse the trends and changes. The result shows similarities in the methods of attack, and the type of weapon they used. As vehicle attacks has been raised in few years, damage area has been widen and casualties also have been increased.

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Change Detection of Building Objects in Urban Area by Using Transfer Learning (전이학습을 활용한 도시지역 건물객체의 변화탐지)

  • Mo, Jun-sang;Seong, Seon-kyeong;Choi, Jae-wan
    • Korean Journal of Remote Sensing
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    • v.37 no.6_1
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    • pp.1685-1695
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    • 2021
  • To generate a deep learning model with high performance, a large training dataset should be required. However, it requires a lot of time and cost to generate a large training dataset in remote sensing. Therefore, the importance of transfer learning of deep learning model using a small dataset have been increased. In this paper, we performed transfer learning of trained model based on open datasets by using orthoimages and digital maps to detect changes of building objects in multitemporal orthoimages. For this, an initial training was performed on open dataset for change detection through the HRNet-v2 model, and transfer learning was performed on dataset by orthoimages and digital maps. To analyze the effect of transfer learning, change detection results of various deep learning models including deep learning model by transfer learning were evaluated at two test sites. In the experiments, results by transfer learning represented best accuracy, compared to those by other deep learning models. Therefore, it was confirmed that the problem of insufficient training dataset could be solved by using transfer learning, and the change detection algorithm could be effectively applied to various remote sensed imagery.

Computation of Maintainability Index Using SysML-Based M&S Technique for Improved Weapon Systems Development (SysML 기반 모델링 및 시뮬레이션 기법을 활용한 무기체계 정비도 지수 산출)

  • Yoo, Yeon-Yong;Lee, Jae-Chon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.11
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    • pp.88-95
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    • 2018
  • Maintainability indicates how easily a system can be restored to the normal state when a system failure occurs. Systems developed to have high maintainability can be competitive due to reduced maintenance time, workforce and resources. Quantification of the maintainability is possible in many ways, but only after prototype production or with historical data. As such, the graph theory and 3D model data have been used, but there are limitations in management efficiency and early use. To solve this problem, we studied the maintainability index of weapon systems using SysML-based modeling and simulation technique. A SysML structure diagram was generated to simultaneously model the system design and maintainability of system components by reflecting the maintainability attributes acquired from the system engineering tool. Then, a SysML parametric diagram was created to quantify the maintainability through simulation linked with MATLAB. As a result, an integrated model to account for system design and maintainability simultaneously has been presented. The model can be used from early design stages to identify components with low maintainability index. The design of such components can be changed to improve maintainability and thus to reduce the risks of cost overruns and time delays due to belated design changes.

A Study on the Risk Factors according to the Frequency of Falling Accidents in Construction Sites (건설현장 추락재해의 발생 빈도에 따른 위험요인 연구)

  • Kim, Do-Su;Shin, Yoon-Seok
    • Journal of the Korea Institute of Building Construction
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    • v.19 no.2
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    • pp.185-192
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    • 2019
  • Construction has been well known as the industry in which accidents occur more often than other industries. The efforts to eliminate the accidents at construction sites need to be continuously conducted because they tend to cause the social problems such as massive loss of life and property. According to the Korea Occupational Safety and Health Agency (KOSHA), 26,570 (29.3 percent) out of 90,656 workers in total industrial accidents have been occurred in the construction industry in 2016. Particularly, the falling victims are the largest number, which is about 8,699. This number is increasing due to the increase of the large scale, high-rise, and complex construction structures and the various construction methods. In reality, there is a lack of analysis on the risk factors of safety accidents and preventive measures. Therefore, in this study, we have selected risk factors by analyzing the accident cases at construction sites. Based on the results, we conducted a safety practitioner-focused survey and had an interview with safety managers. In analyzing the cases, we have categorized them into three groups such as upper, middle, and lower and compared their statistical results. This study are expected to provide safety management guidelines with workers and safety managers to prevent previously fall accidents at construction site.